Exploring AI-in-the-making: Sociomaterial genealogies of AI performativity

IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Susan V. Scott , Wanda J. Orlikowski
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引用次数: 0

Abstract

Recent interest in artificial intelligence technologies has led to much discussion about what the age of AI portends for how we live and work. And specifically for the present discussion, what it means for agency. In offering our contributions to these considerations, we build on approaches to treat AI not as a “thing” but as phenomena in-the-making. Such a framing orients us to doings, to practices, to enactments, and consequential outcomes. These considerations of AI-in-the-making are inspired by agential realism, a theory that calls attention to performativity and accountability. Based on these ideas, we propose a sociomaterial genealogical approach that we suggest is well-suited for the study of AI-in-the-making. In so doing, we provide qualitative scholars with a way of orienting their inquiries toward the performativity of ongoing AI reconfigurations and sociomaterial accountabilities.
探索人工智能在制造:人工智能性能的社会材料谱系
最近人们对人工智能技术的兴趣引发了很多关于人工智能时代对我们生活和工作方式的预示的讨论。特别是对于目前的讨论,它对代理意味着什么。在提供我们对这些考虑的贡献时,我们建立的方法不是将人工智能视为“事物”,而是将其视为正在形成的现象。这样的框架引导我们去做,去实践,去制定,和相应的结果。这些关于人工智能的考虑受到代理现实主义的启发,代理现实主义是一种关注性能和问责制的理论。基于这些想法,我们提出了一种社会物质谱系方法,我们认为这种方法非常适合研究人工智能。通过这样做,我们为定性学者提供了一种方法,可以将他们的调查导向正在进行的人工智能重新配置和社会物质责任的性能。
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来源期刊
CiteScore
11.20
自引率
1.60%
发文量
18
期刊介绍: Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Information technologies are implicated in all industries and in public as well as private enterprises. Understanding the relationships between information technologies and social organization is an increasingly important and urgent social and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original scholarly articles on the relationships between information technologies and social organization. It seeks a scholarly understanding that is based on empirical research and relevant theory.
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